The visual dialog task encourages models to ask and answer questions about visual input. Notably, each dialog-interaction employs many modalities (e.g., image, question, caption, dialog-history). We show our results on the VisDial v1.0 dataset, where 123,287 images are used for training, 2,000 images for validation, and 8,000 images for testing [1]}. Each image is associated with ten questions, and each question has 100 corresponding answer candidates.
